Transforming System Test

Stan Cătălin, Toghe Răzvan and Văidian Iulia
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Stan Cătălin: Marquardt Schaltsysteme SCS, Research and Development Department, Software Engineer
Toghe Răzvan: Marquardt Schaltsysteme SCS, Research and Development Department, Software Test Engineer
Văidian Iulia: OMiLAB NPO, Berlin, Germany, Community of Practice Manager

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2024, vol. 14, issue 1, 3-12

Abstract: During the product System Test phase, it is necessary to determine the passed/failed status of tests by analyzing network signals. A second layer of verification is introduced by using a camera to take pictures triggered by these signals. An image recognition model is used to identify the successful operation of the product (tests passed), by processing the captured images. The main goal of the proposed method is the improvement of quality assurance techniques. The possibility of automated defect detection in the manufacturing process will lead to improved productivity, higher product quality, and transparency in reporting.

Keywords: System Test; image recognition; verification; conceptual modelling; resilience; sustainability; human-centric; industrial processes; automotive (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:ijsiel:v:14:y:2024:i:1:p:3-12:n:1010

DOI: 10.2478/ijasitels-2024-0010

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